CN113954736B - Intelligent headlamp self-adaptive traffic environment control system method and system - Google Patents
Intelligent headlamp self-adaptive traffic environment control system method and system Download PDFInfo
- Publication number
- CN113954736B CN113954736B CN202111376412.1A CN202111376412A CN113954736B CN 113954736 B CN113954736 B CN 113954736B CN 202111376412 A CN202111376412 A CN 202111376412A CN 113954736 B CN113954736 B CN 113954736B
- Authority
- CN
- China
- Prior art keywords
- target
- vehicle
- traffic environment
- light
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
- B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
- B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
- B60Q1/06—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle
- B60Q1/08—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically
- B60Q1/085—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically due to special conditions, e.g. adverse weather, type of road, badly illuminated road signs or potential dangers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention provides an intelligent headlight self-adaptive traffic environment control method and system. The traffic flow, pedestrian, vehicle, guideboard and other information identified by the sensor can be used for identifying the current traffic environment by combining with GPS positioning, and the controller data processing is used for outputting signals to the head lamp to adjust the irradiation area so as to meet the light demands of drivers.
Description
Technical Field
The invention relates to the field of intelligent headlight control, in particular to a method for judging the type of traffic environment where a vehicle is positioned through the identification of objects around the vehicle, so that a lamplight control strategy is selected in a targeted manner.
Background
With the continuous improvement of the comfort requirements of consumers on automobile products, the automatic degree of the automobile is promoted to be continuously extended to the depth, and the requirements of consumers on good life are met increasingly, an intelligent headlight occupies a large proportion on driving experience of drivers, the requirements of the drivers on light are different under different traffic environments, the driving speed on the expressway is higher, the irradiation distance of the light is far, the urban road has more street lamps, the irradiation distance of the light is not high, and the irradiation width of the rural road is larger. In the prior art, the light control of the vehicle is mainly realized through manual adjustment or simple automatic switching of near-far light, and the self-adaptive conversion cannot be performed according to the traffic environment converted in real time.
Disclosure of Invention
The intelligent headlight can identify different traffic environments according to the camera, and the controller data processing is adopted to output signals to the headlight for adjusting the irradiation area so as to meet the light demands of drivers. The specific technical scheme is as follows.
As a first aspect, the present invention provides an intelligent headlight adaptive traffic environment control method, which is characterized in that the steps include:
s1, starting a lamplight system of a vehicle, wherein the optical parameters of the lamplight system reach a set initial value;
s2, detecting targets around the vehicle in real time by a vehicle sensor, and acquiring related target data;
s3, uploading target data to a controller, performing fusion processing on the target data by the controller, and outputting a target value of each target classification after performing target classification on the target data;
s4, judging the type of traffic environment where the vehicle is located according to the output target values of the target classifications according to judgment criteria;
s5, selecting corresponding control instructions to carry out partition adjustment on optical parameters of a plurality of luminous areas of the lighting system according to different traffic environment types.
With reference to the first aspect, in a first case of any one of the possible cases, the step S3 is:
uploading target data to a controller, carrying out fusion processing on the target data by the controller, carrying out target classification on the target data, dividing the target data into lane line targets, pedestrian targets, vehicle targets and street lamp targets, and outputting lane line target quantity values, pedestrian target quantity values, vehicle target quantity values and street lamp target quantity values;
the step S4 is as follows:
and according to the output target quantity values of various target classifications, calling a lane line target standard value, a pedestrian target standard value, a vehicle target standard value and a street lamp target standard value in a judging criterion, comparing each target quantity value with a corresponding target standard value, outputting a comparison value, comprehensively calculating the comparison value, matching the traffic environment classification standard, and judging the type of traffic environment where the vehicle is located.
With reference to the first aspect or the first case, a second case in any one of the cases that may occur is that the target standard value is:
the lane line target standard values are respectively set as follows according to the traffic environment types: a0, a1, a2;
the pedestrian target standard value is set as follows according to the traffic environment type: b0, b1, b2;
the vehicle target standard value is set as follows according to the traffic environment type: c0, c1, c2;
the street lamp target standard value is set as follows according to the traffic environment type: d0, d1, d2;
the comparison value is comprehensively calculated, the traffic environment classification standard is matched, and the method for judging the type of the traffic environment comprises the following steps:
expressway mode: the traffic lane target number value is larger than or equal to a0, the pedestrian target number value is smaller than b0, the vehicle target number value is smaller than c0, and the street lamp target number value is smaller than d0;
urban road mode: the target number value of the lane line is larger than or equal to a1, the target number value of the pedestrian is larger than or equal to b1, the target number value of the vehicle is larger than or equal to c1, and the target number value of the street lamp is larger than or equal to d1;
rural way mode: the lane line target number value is smaller than a2, the pedestrian target number value is smaller than b2, the vehicle target number value is smaller than c2, and the street lamp target number value is smaller than d2.
In combination with the first aspect or the first and second cases, a third case in any one of the possible situations is that the control instructions corresponding to the traffic environment types are respectively:
the traffic environment is a highway mode: the lamplight system is switched to a high beam mode, the optical parameters of the lamplight system are adjusted to be that the irradiation distance is more than 150m, and the irradiation width is more than 7m;
the traffic environment is an urban road mode: switching the lamplight system into a dipped headlight mode, wherein the optical parameters of the lamplight system are consistent with the initial values;
the traffic environment is a rural small road mode: the light system is switched into a dipped headlight mode, the optical parameters of the light system are adjusted to be that the irradiation distance is more than 50m, and the irradiation width is more than 14m.
In combination with the first aspect or any one of the first to third cases, the fourth case in any one of the cases that may occur is,
the lane line target standard values are respectively set as follows according to the traffic environment types: a0 =3, a1=2, a2=2;
the pedestrian target standard values are respectively set as follows according to the traffic environment types: b0 =0, b1=2, b2=1;
the vehicle target standard values are respectively set as follows according to the traffic environment types: c0 =2, c1=3, c2=1;
the street lamp target standard values are respectively set as follows according to the traffic environment types: d0 =1, d1=2, d2=1.
A fifth aspect of any one of the first to fourth aspects that may occur in combination with the first aspect or any one of the first to fourth aspects is that, when the lighting system is switched to the high beam mode, the vehicle sensor locks and tracks the detected vehicle target or pedestrian target, and the plurality of light sources of the lighting system are controlled in a partition manner, where the partition control method is as follows: matching a luminous area capable of being irradiated to the locked vehicle target or the pedestrian target according to the locked vehicle target or the pedestrian target and comparing the irradiation area in a high beam state, and reducing the light intensity of the luminous area; and according to the moving track of the vehicle target or the pedestrian target detected by the sensor in real time, control switching is performed among the corresponding light-emitting areas until the sensor loses the detected vehicle target or pedestrian target, the light intensity of the lamplight system is restored to the preset optical parameters of the corresponding traffic environment in the high beam state, the intelligent headlight is assembled by a plurality of light-emitting area modules, and each light-emitting area module can be independently controlled, including up-down and left-right four-axis direction adjustment, angle adjustment, near-far beam switching and brightness adjustment.
When the lamplight system is switched to a high beam mode, the vehicle sensor locks and tracks the detected vehicle target or pedestrian target, and performs partition control on a plurality of light sources of the lamplight system, wherein the partition control method comprises the following steps: according to the locked vehicle target or pedestrian target, identifying the irradiation range shielded by the target object according to the preset irradiation range which can be irradiated by the high beam mode under the condition of no target object or obstacle in the preset urban road mode, calculating the light-emitting area corresponding to the shielded irradiation range, and after the light-emitting area module corresponding to the vehicle target or pedestrian target is selected, regulating the brightness down or switching to the dipped headlight mode.
Meanwhile, the sensor tracks and records real-time movement of a vehicle target or a pedestrian target as a path, determines at least one luminous area passing by the path in a preset irradiation range, and matches the luminous area with a corresponding luminous area module in real time; and controlling each light-emitting area module to control brightness, direction and angle according to the path according to the time period when the path passes through each LED light-emitting area.
When the vehicle target or the pedestrian target leaves the current light-emitting area, the corresponding light-emitting area module is switched to a high beam mode; when the sensor detects that the locked target is lost, the whole car lamp system is switched to a high beam mode.
The sixth aspect in combination with the first aspect or any one of the first to fifth aspects, wherein the traffic environment judging method for judging a traffic environment in which the vehicle is located further includes: and judging the traffic environment of the vehicle according to the judgment criterion by combining with the GPS positioning of the vehicle.
As a second aspect, the present invention discloses an intelligent headlight adaptive traffic environment control system, characterized in that the system comprises:
the light control module is used for switching near/far lights of the vehicle and adjusting the light emitting area and the light emitting brightness; the sensor control module is used for collecting characteristic information of pedestrians, vehicles, street lamps and lane lines around the vehicle; the data processing module is used for carrying out fusion processing on the data acquired by the sensor control module through the data processing unit of the controller, determining the quantity value of pedestrians, vehicles, street lamps and lane lines, comparing the quantity value with the standard value set by the controller for the target quantity, judging the type of traffic environment where the vehicle is located, sending a light control instruction to the light control module, and carrying out regional adjustment of light.
With reference to the second aspect, in a seventh aspect of any of the possible cases, the light control module is composed of a plurality of LED control modules, each LED control module may perform near/far light switching of the vehicle, adjust the light emitting area and the light emitting luminance, and the near/far light switching, adjust the light emitting area and the light emitting luminance of the vehicle of the plurality of LED control modules are combined into the near/far light switching, adjust the light emitting area and the light emitting luminance of the light control module.
With reference to the second aspect or the seventh aspect, in an eighth aspect of any of the possible situations, the system further includes a GPS positioning module, configured to acquire vehicle location data, as a parameter of the data processing module for determining a type of traffic environment in which the vehicle is located; the system also comprises a voice prompt module which is used for carrying out voice prompt on a driver before lamplight switching.
As a third aspect, the present invention provides a computer readable storage medium storing one or more programs, characterized in that the computer readable storage medium stores one or more program instructions which, when executed by a processor, perform any one of the methods described above.
As a fourth aspect, the present invention provides a vehicle mounted with the system including the lamp control system, the vehicle end control module, and the sensor mounted around the vehicle according to the second aspect, and the control method according to the first aspect is operated by cooperating with the system and the module by calling the code instruction in the storage device of the third aspect.
The beneficial effects of the invention are as follows:
1) The requirements of drivers on light under different traffic environments are improved;
2) The driving safety is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a system logic diagram of the present invention;
FIG. 2 is an initial value of a lamp light optical parameter;
fig. 3 is a schematic diagram of light tracking.
Detailed Description
The technical scheme of the invention is further specifically described below through examples and with reference to the accompanying drawings. It is apparent that the described embodiments are only some of the embodiments of the present invention.
Example 1
As shown in fig. 1, the present invention provides a method for controlling an intelligent headlight adaptive traffic environment, which is characterized in that the steps include:
s1, starting a lamplight system of a vehicle, wherein the optical parameters of the lamplight system reach set initial values shown in FIG. 2; the lighting system consists of a middle LED lighting system and two independent left and right LED lighting systems, and can realize partition regulation and control.
S2, taking the vehicle as a center, arranging a vehicle sensor to detect a target around the vehicle in real time, and acquiring related target data; the vehicle sensor comprises a camera, ultrasonic waves, a laser radar, an angle radar and the like;
s3, uploading target data to a controller through an Ethernet and a CAN, carrying out fusion processing on the target data by an algorithm chip and an AI chip in the controller, carrying out target classification on the target data, dividing the target data into a lane line target, a pedestrian target, a vehicle target and a street lamp target, and outputting a lane line target quantity value, a pedestrian target quantity value, a vehicle target quantity value and a street lamp target quantity value;
s4, according to the output target quantity values of various target classifications, calling a lane line target standard value, a pedestrian target standard value, a vehicle target standard value and a street lamp target standard value in a judging criterion, comparing each target quantity value with a corresponding target standard value, outputting a comparison value, comprehensively calculating the comparison value, matching the traffic environment classification standard, and judging the type of traffic environment where the vehicle is located by combining the GPS positioning data of the vehicle;
s5, selecting corresponding control instructions to conduct partition adjustment of lamplight on optical parameters of a lamplight system according to different traffic environment types, and conducting different lamplight mode switching: such as near/far beam switching, illumination distance adjustment, illumination width adjustment, and voice prompt to the driver.
Wherein, the target standard value is:
the lane line target standard values are respectively set as follows according to the traffic environment types: a0 =3, a1=2, a2=2;
the pedestrian target standard values are respectively set as follows according to the traffic environment types: b0 =0, b1=2, b2=1;
the vehicle target standard values are respectively set as follows according to the traffic environment types: c0 =2, c1=3, c2=1;
the street lamp target standard values are respectively set as follows according to the traffic environment types: d0 =1, d1=2, d2=1.
According to actual traffic conditions, the expressway has more common unidirectional lane lines, fewer street lamps, fewer pedestrians and fewer surrounding driving vehicles. The urban roads are generally provided with a large number of unidirectional lane lines, a large number of street lamps, a large number of pedestrians and a large number of surrounding driving vehicles. The number of the common unidirectional lane lines of the rural small roads is small, the number of the street lamps is small, the number of pedestrians is small, and the number of surrounding driving vehicles is small.
Based on the actual traffic condition, the comparison value is comprehensively calculated, and the traffic environment classification standard is matched, so that the method for judging the type of the traffic environment comprises the following steps:
expressway mode: the traffic lane target number value is larger than or equal to a0, the pedestrian target number value is smaller than b0, the vehicle target number value is smaller than c0, and the street lamp target number value is smaller than d0;
urban road mode: the target number value of the lane line is larger than or equal to a1, the target number value of the pedestrian is larger than or equal to b1, the target number value of the vehicle is larger than or equal to c1, and the target number value of the street lamp is larger than or equal to d1;
rural way mode: the lane line target number value is smaller than a2, the pedestrian target number value is smaller than b2, the vehicle target number value is smaller than c2, and the street lamp target number value is smaller than d2.
On the expressway, the running speed of the vehicle is more than or equal to 90km/h, the running speed is high, the number of street lamps is small, and the number of vehicles in the surrounding range of the vehicle is small. So it has the following requirements for light: the irradiation distance is far a priority requirement, and the irradiation width requirement is not very high. Therefore, the control instruction corresponding to the traffic environment type is: the lamplight system is switched into a high beam mode, and the LEDs on the two sides are turned off by increasing current, so that the optical parameters of the lamplight system are adjusted to be more than 150m in irradiation distance and more than 7m in irradiation width. The LED luminous flux of the light source is increased by controlling the current, and the irradiation distance is increased by adjusting the irradiation angle of the LED to collect energy.
On urban roads, the number of street lamps at two sides of the road is large, the lighting condition is good, and no particularly high requirements are imposed on the irradiation distance and the irradiation width of the vehicle. So it has the following requirements for light: and adopting an initial value of optical setting of the lamp, reducing current, and turning off LEDs on two sides. Therefore, the control instruction corresponding to the traffic environment type is: and adopting an initial value of optical setting of the lamp.
On rural roads, the number of lane lines is less, the number of turning intersections is more, the lighting conditions are poorer, the emergency is frequent, the running speed of the vehicle is generally lower than 60km/h, the requirements on the lighting distance are not high, but the requirements on the lighting width are larger. So it has the following requirements for light: the LED energy of the light source is diffused, and the irradiation width is increased. Therefore, the control instruction corresponding to the traffic environment type is: the lighting system is switched into a dipped headlight mode, and the LEDs on two sides are turned on by increasing current, so that the optical parameters of the lighting system are adjusted to be more than 50m in irradiation distance and more than 14m in irradiation width.
Drivers have different lighting requirements for headlights based on their driver's traffic conditions such as highway, urban road, and rural road. According to the scheme, the intelligent headlight can be particularly enabled to output to the intelligent headlight signal instruction after being processed according to the surrounding environment data acquired by the vehicle sensor and the data of the controller, different lighting modes can be switched according to different traffic environments of the vehicle, the light irradiation requirements of a driver under different traffic environments are met, and therefore the running safety is guaranteed.
Example 2
On the basis of the embodiment 1, the embodiment provides a preferable scheme, and the specific scheme is as follows:
in the running process of the system, when the system selects a corresponding traffic environment type and then switches the intelligent headlight to a high beam, a vehicle sensor locks and tracks a detected vehicle target or pedestrian target, and a plurality of light sources of the intelligent headlight are subjected to zone control, wherein the zone control method comprises the following steps: matching a luminous area capable of being irradiated to the locked vehicle target or the pedestrian target according to the locked vehicle target or the pedestrian target and comparing the irradiation area in a high beam state, and reducing the light intensity of the luminous area; and according to the moving track of the vehicle target or the pedestrian target detected by the sensor in real time, control switching is performed among the corresponding light-emitting areas until the light intensity of the light system is restored to the preset optical parameters of the corresponding traffic environment in the high beam state after the detected vehicle target or pedestrian target is lost by the sensor.
In this preferred scheme, intelligent headlight is formed by the equipment of a plurality of LED luminous region module, and every LED luminous region module is can the individual control, including four-axis direction adjustment, angle modulation, near-far light switching, luminance adjustment about.
As shown in fig. 3, taking an urban road mode as an example, when the intelligent headlight of the vehicle is switched to a high beam, the vehicle sensor locks the forward vehicle in the same direction and opposite direction, and pedestrians on the road. After locking, according to a preset irradiation range which can be irradiated by a high beam mode under the condition that no target object or obstacle exists in a preset urban road mode, identifying an irradiation range shielded by the target object, and calculating an LED light-emitting area corresponding to the shielded irradiation range.
When the LED luminous area module corresponding to the target is selected, the illumination intensity is reduced, and the LED luminous area module is generally switched to a dipped headlight mode directly, and can be set to other light intensities. And the sensor tracks and records the moving track of the target object, maps a corresponding target moving path in a preset irradiation range, matches corresponding LED luminous area modules according to a plurality of LED luminous areas which the target moving path passes, and controls each LED luminous area to control the direction and the angle according to the target moving path in a corresponding time period according to the time period when the target passes each LED luminous area according to the moving path. And when the target leaves the current LED light-emitting area, the corresponding LED light-emitting area module restores to the optical parameters of the far-reaching headlamp mode preset by the urban road mode. And after the target locked by the sensor is lost, all LED luminous area modules of the intelligent headlight are optical parameters of a far-reaching headlamp mode preset by an urban road mode.
Through the preferable scheme, the car lamp can track the front car in real time, and the high beam area irradiated to the front car is switched into the low beam, so that a driver of the front car is prevented from being influenced by the high beam of the rear car, and driving safety is guaranteed. The intelligent car lamp can track the movement of the opposite car, so that the area switched from the high beam to the low beam can track the movement of the opposite car in real time, thereby avoiding the visual blind area of the opposite car caused by the high beam and avoiding traffic accidents.
Example 3
The embodiment provides an intelligent headlight self-adaptive traffic environment control system, which comprises:
the light control module is used for switching near/far lights of the vehicle and adjusting the light emitting area and the light emitting brightness;
the sensor control module is used for collecting characteristic information of pedestrians, vehicles, street lamps and lane lines around the vehicle;
the data processing module is used for carrying out fusion processing on the data acquired by the sensor control module through the data processing unit of the controller, determining the quantity value of pedestrians, vehicles, street lamps and lane lines, comparing the quantity value with the standard value set by the controller for the target quantity, judging the type of traffic environment where the vehicle is located, sending a light control instruction to the light control module, and carrying out regional regulation and control on light.
Preferably, the system further comprises a GPS positioning module, which is used for acquiring vehicle position data as a parameter of the traffic environment type where the data processing module judges the vehicle is located. The system also comprises a voice prompt module which is used for carrying out voice prompt on a driver before lamplight switching. The light control module consists of a middle LED light control module and two independent left and right LED light control modules, and can realize partition regulation and control.
It should be understood that the above-described embodiments are merely illustrative of the present invention and are not intended to limit the scope of the present invention. It is also to be understood that various changes and modifications may be made by those skilled in the art after reading the disclosure herein, and that such equivalents are intended to fall within the scope of the claims appended hereto.
Claims (10)
1. The intelligent headlamp self-adaptive traffic environment control method is characterized by comprising the following steps of:
s1, starting a lamplight system of a vehicle, wherein the optical parameters of the lamplight system reach a set initial value;
s2, detecting targets around the vehicle in real time by a vehicle sensor, and acquiring related target data;
s3, uploading target data to a controller, carrying out fusion processing on the target data by the controller, carrying out target classification on the target data, dividing the target data into lane line targets, pedestrian targets, vehicle targets and street lamp targets, and outputting lane line target quantity values, pedestrian target quantity values, vehicle target quantity values and street lamp target quantity values;
s4, according to the output target quantity values of various target classifications, calling a lane line target standard value, a pedestrian target standard value, a vehicle target standard value and a street lamp target standard value in a judging criterion, comparing each target quantity value with a corresponding target standard value, outputting a comparison value, comprehensively calculating the comparison value, matching the traffic environment classification standard, and judging that the vehicle is located
Is a traffic environment type;
s5, selecting corresponding control instructions to carry out partition adjustment on optical parameters of a plurality of luminous areas of the lighting system according to different traffic environment types.
2. The intelligent headlight adaptive traffic environment control method according to claim 1, wherein the target standard value is:
the lane line target standard values are respectively set as follows according to the traffic environment types: a0, a1, a2; the pedestrian target standard values are respectively set as follows according to the traffic environment types: b0, b1, b2; the vehicle target standard values are respectively set as follows according to the traffic environment types: c0, c1, c2;
the street lamp target standard values are respectively set as follows according to the traffic environment types: d0, d1, d2;
the comparison value is comprehensively calculated, the traffic environment classification standard is matched, and the method for judging the type of the traffic environment comprises the following steps:
expressway mode: the traffic lane target number value is larger than or equal to a0, the pedestrian target number value is smaller than b0, the vehicle target number value is smaller than c0, and the street lamp target number value is smaller than d0;
urban road mode: the target number value of the lane line is larger than or equal to a1, the target number value of the pedestrian is larger than or equal to b1, the target number value of the vehicle is larger than or equal to c1, and the target number value of the street lamp is larger than or equal to d1;
rural way mode: the lane line target number value is smaller than a2, the pedestrian target number value is smaller than b2, the vehicle target number value is smaller than c2, and the street lamp target number value is smaller than d2.
3. The intelligent headlight adaptive traffic environment control method according to claim 2, wherein,
the lane line target standard values are respectively set as follows according to the traffic environment types: a0 =3, a1=2, a2=2;
the pedestrian target standard values are respectively set as follows according to the traffic environment types: b0 =0, b1=2, b2=1;
the vehicle target standard values are respectively set as follows according to the traffic environment types: c0 =2, c1=3, c2=1;
the street lamp target standard values are respectively set as follows according to the traffic environment types: d0 =1, d1=2, d2=1;
the control instructions corresponding to the traffic environment types are respectively as follows:
the traffic environment is a highway mode: the lamplight system is switched to a high beam mode, the optical parameters of the lamplight system are adjusted to be that the irradiation distance is more than 150m, and the irradiation width is more than 7m;
the traffic environment is an urban road mode: switching the lamplight system into a dipped headlight mode, wherein the optical parameters of the lamplight system are consistent with the initial values;
the traffic environment is a rural small road mode: the light system is switched into a dipped headlight mode, the optical parameters of the light system are adjusted to be that the irradiation distance is more than 50m, and the irradiation width is more than 14m.
4. A method of intelligent headlamp adaptive traffic environment control according to any of claims 1 to 3, wherein the method further comprises:
the intelligent headlight is assembled by a plurality of luminous area modules, and each luminous area module can be independently controlled to adjust optical parameters;
when the lamplight system is switched to a high beam mode, the vehicle sensor locks and tracks the detected vehicle target or pedestrian target, and performs partition control on a plurality of light sources of the lamplight system, wherein the partition control method comprises the following steps: according to the locked vehicle target or pedestrian target, identifying the irradiation range shielded by the target object according to the preset irradiation range which can be irradiated by the high beam mode under the condition of no target object or obstacle in the preset urban road mode, calculating the light-emitting area corresponding to the shielded irradiation range, and reducing the optical parameters after selecting the light-emitting area module corresponding to the vehicle target or pedestrian target;
meanwhile, the sensor tracks and records real-time movement of a vehicle target or a pedestrian target as a path, determines at least one luminous area passing by the path in a preset irradiation range, and matches the luminous area with a corresponding luminous area module in real time; according to the time period that the path passes through each LED light-emitting area, each light-emitting area module is controlled to adjust optical parameters according to the path;
when the vehicle target or the pedestrian target leaves the current light-emitting area, the corresponding light-emitting area module is switched to a high beam mode; when the sensor detects that the locked target is lost, the whole car lamp system is switched to a high beam mode.
5. A method for controlling an adaptive traffic environment of an intelligent headlight according to any one of claims 1 to 3, wherein the method for determining a traffic environment in which a vehicle is located further comprises: and judging the traffic environment of the vehicle according to the judgment criterion by combining with the GPS positioning of the vehicle.
6. An intelligent headlight adaptive traffic environment control system, the system being characterized by the steps of performing the intelligent headlight adaptive traffic environment control method according to any one of claims 1 to 5, comprising:
the light control module is used for switching near/far lights of the vehicle and adjusting the light emitting area and the light emitting brightness;
the sensor control module is used for collecting characteristic information of pedestrians, vehicles, street lamps and lane lines around the vehicle;
the data processing module is used for carrying out fusion processing on the data acquired by the sensor control module by the controller data processing module, determining the quantity value of pedestrians, vehicles, street lamps and lane lines, comparing the quantity value with the standard value set by the controller for the target quantity, judging the type of traffic environment where the vehicle is located, sending a light control instruction to the light control module, and carrying out regional adjustment of light.
7. The intelligent headlight adaptive traffic environment control system according to claim 6, wherein the light control module comprises a plurality of LED control modules, each LED control module is capable of performing near/far light switching of the vehicle, adjusting the light emission area and the light emission luminance, and the near/far light switching of the vehicle, adjusting the light emission area and the light emission luminance of the plurality of LED control modules are combined into the near/far light switching of the light control module, adjusting the light emission area and the light emission luminance.
8. The intelligent headlight adaptive traffic environment control system according to claim 6, further comprising a GPS positioning module for acquiring vehicle position data as a parameter for the data processing module to determine the type of traffic environment in which the vehicle is located; the system also comprises a voice prompt module which is used for carrying out voice prompt on a driver before lamplight switching.
9. A computer readable storage medium storing one or more programs, wherein the computer readable storage medium stores one or more program instructions which, when executed by a processor, perform the method of any of claims 1 to 5.
10. A vehicle, characterized in that the vehicle is mounted with the system according to claim 6 or 8 and the storage medium according to claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111376412.1A CN113954736B (en) | 2021-11-19 | 2021-11-19 | Intelligent headlamp self-adaptive traffic environment control system method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111376412.1A CN113954736B (en) | 2021-11-19 | 2021-11-19 | Intelligent headlamp self-adaptive traffic environment control system method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113954736A CN113954736A (en) | 2022-01-21 |
| CN113954736B true CN113954736B (en) | 2023-06-23 |
Family
ID=79471263
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111376412.1A Active CN113954736B (en) | 2021-11-19 | 2021-11-19 | Intelligent headlamp self-adaptive traffic environment control system method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113954736B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008060949A1 (en) * | 2008-12-06 | 2009-09-17 | Daimler Ag | Method for controlling vehicle headlamps, involves dividing surrounding into multiple areas outside vehicle, and unrestricted upper beam distribution is adjusted, if no other road user is identified in areas |
| JP2011255765A (en) * | 2010-06-08 | 2011-12-22 | Denso Corp | Headlight control device |
| CN202593363U (en) * | 2012-06-05 | 2012-12-12 | 东风汽车公司 | Automatic fluorescence spectroscopy (AFS) system suitable for halide torches |
| EP2574502A1 (en) * | 2011-09-30 | 2013-04-03 | Koito Manufacturing Co., Ltd. | Vehicle headlamp control system |
| CN104210421A (en) * | 2013-05-29 | 2014-12-17 | 富士重工业株式会社 | Ambient environment determination apparatus |
| CN108791039A (en) * | 2017-05-02 | 2018-11-13 | 现代摩比斯株式会社 | The adaptive lamp control device in track and method |
| CN109941185A (en) * | 2018-05-31 | 2019-06-28 | 长城汽车股份有限公司 | A kind of adaptive distance light lamp control method of projection-type, device and vehicle |
| EP3770488A1 (en) * | 2019-07-26 | 2021-01-27 | Siteco GmbH | Street lamp with communication interface for vehicles |
| CN113496593A (en) * | 2020-04-01 | 2021-10-12 | 深圳市以捷智慧交通科技有限公司 | Ground signal lamp system and method for self-adapting pedestrians and vehicles to cross pedestrian crossing |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002193025A (en) * | 2000-12-27 | 2002-07-10 | Koito Mfg Co Ltd | Vehicular head lamp device |
| JP2005353477A (en) * | 2004-06-11 | 2005-12-22 | Koito Mfg Co Ltd | Lighting system for vehicles |
| DE102013213375A1 (en) * | 2013-07-09 | 2015-01-15 | Ford Global Technologies, Llc | Method for controlling the light distribution of motor vehicle headlamps |
-
2021
- 2021-11-19 CN CN202111376412.1A patent/CN113954736B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008060949A1 (en) * | 2008-12-06 | 2009-09-17 | Daimler Ag | Method for controlling vehicle headlamps, involves dividing surrounding into multiple areas outside vehicle, and unrestricted upper beam distribution is adjusted, if no other road user is identified in areas |
| JP2011255765A (en) * | 2010-06-08 | 2011-12-22 | Denso Corp | Headlight control device |
| EP2574502A1 (en) * | 2011-09-30 | 2013-04-03 | Koito Manufacturing Co., Ltd. | Vehicle headlamp control system |
| CN202593363U (en) * | 2012-06-05 | 2012-12-12 | 东风汽车公司 | Automatic fluorescence spectroscopy (AFS) system suitable for halide torches |
| CN104210421A (en) * | 2013-05-29 | 2014-12-17 | 富士重工业株式会社 | Ambient environment determination apparatus |
| CN108791039A (en) * | 2017-05-02 | 2018-11-13 | 现代摩比斯株式会社 | The adaptive lamp control device in track and method |
| CN109941185A (en) * | 2018-05-31 | 2019-06-28 | 长城汽车股份有限公司 | A kind of adaptive distance light lamp control method of projection-type, device and vehicle |
| EP3770488A1 (en) * | 2019-07-26 | 2021-01-27 | Siteco GmbH | Street lamp with communication interface for vehicles |
| CN113496593A (en) * | 2020-04-01 | 2021-10-12 | 深圳市以捷智慧交通科技有限公司 | Ground signal lamp system and method for self-adapting pedestrians and vehicles to cross pedestrian crossing |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113954736A (en) | 2022-01-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP4964195B2 (en) | Vehicle lighting device | |
| US9505339B2 (en) | Method and control unit for activating at least one headlight of a vehicle using a traffic density | |
| US7692535B2 (en) | Lighting control system for control dependent on weather condition | |
| US20080225271A1 (en) | Vehicle Operation Support Method and System | |
| US20130258688A1 (en) | Adaptive external vehicle illumination system | |
| US9340148B2 (en) | Method and control unit for distance-dependent adjustment of the illumination range of a lighting system for a vehicle | |
| EP2594431B1 (en) | Apparatus and method for controlling a headlamp of vehicle | |
| US8433479B2 (en) | Adaptive front-lighting system with fuzzy logic control | |
| KR20150052638A (en) | ADB head-lamp system and Beam control method using the same | |
| CN105744682A (en) | Lighting control method and system | |
| CN112406687A (en) | 'man-vehicle-road' cooperative programmable matrix headlamp system and method | |
| US7112925B2 (en) | Vehicle headlamp system and dimming-type vehicle headlamp | |
| CN109823258A (en) | A kind of matrix LED high beam intelligence supplementary controlled system and its control method | |
| CN109311416A (en) | Imaging system with the control of adaptive distance light | |
| US11440461B2 (en) | Vehicle headlight control device, vehicle headlight control method, non-transitory storage medium | |
| US20230010662A1 (en) | System and method for adaptive driving beam headlamp | |
| CN107613618A (en) | Automobile dimming-distance light lamp control system and method | |
| CN113954735A (en) | Vehicle lamp control method and device, vehicle lamp system, vehicle and storage medium | |
| CN113954736B (en) | Intelligent headlamp self-adaptive traffic environment control system method and system | |
| CN114688506B (en) | Intelligent street lamp illumination control method and device, electronic equipment and storage medium | |
| CN109476256B (en) | Control device for a lighting lamp and method for operating a lighting lamp | |
| US10766403B1 (en) | Vehicle headlamp lighting strategy | |
| CN113232581A (en) | High beam control optimization method based on driver behavior learning | |
| CN115443494A (en) | Method and system for automatically determining display status of traffic signal facility | |
| Rumar | Adaptive illumination systems for motor vehicles: Towards a more intelligent headlighting system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |